Abstract

Significance The ongoing pandemic of COVID-19 challenges globalized societies. Scientific and technological cross-fertilization yields broad availability of georeferenced epidemiological data and of modeling tools that aid decisions on emergency management. To this end, spatially explicit models of the COVID-19 epidemic that include e.g. regional individual mobilities, the progression of social distancing, and local capacity of medical infrastructure provide significant information. Data-tailored spatial resolutions that model the disease spread geography can include details of interventions at the proper geographical scale. Based on them, it is possible to quantify the effect of local containment measures (like diachronic spatial maps of averted hospitalizations) and the assessment of the spatial and temporal planning of the needs of emergency measures and medical infrastructure as a major contingency planning aid.

Keywords

Coronavirus disease 2019 (COVID-19)Containment (computer programming)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicBetacoronavirusCoronavirus InfectionsOutbreakVirologyComputer scienceMedicineInfectious disease (medical specialty)

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Publication Info

Year
2020
Type
article
Volume
117
Issue
19
Pages
10484-10491
Citations
1154
Access
Closed

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Marino Gatto, Enrico Bertuzzo, Lorenzo Mari et al. (2020). Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures. Proceedings of the National Academy of Sciences , 117 (19) , 10484-10491. https://doi.org/10.1073/pnas.2004978117

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DOI
10.1073/pnas.2004978117